- ✅ Full integration with NornicDB's memory bank
- ✅ Graph functions enable multi-hop reasoning
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| name | trendwatch |
|---|---|
| description | Reverse-engineer viral organic TikTok/Instagram content from competitor accounts and generate adapted hook ideas for the user's app. Trigger when the user asks about trendwatching, viral content analysis, hook ideation for organic TikTok/Reels growth, "what's working on TikTok for {category}", or wants to analyze a competitor's content strategy. Self-bootstrapping — on first run asks 5 discovery questions and creates state files next to itself; on subsequent runs reads existing state and skips bootstrap. |
A pipeline for organic TikTok/Instagram growth: discover what's working for competitors, decompose why it's working on 7 axes, generate adapted hook ideas for the user's product, and accumulate learnings over time so the skill gets sharper with use.
| # --- Ghostty Configuration 1.2.3 --- | |
| # Theme & Appearance | |
| theme = niji | |
| background-opacity = 0.88 | |
| window-colorspace = display-p3 | |
| macos-titlebar-style = hidden | |
| # Optional: makes the padding look uniform on all sides | |
| window-padding-balance = true |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| #!/usr/bin/env python3 | |
| """ | |
| BlitzMax Binary Inspector | |
| ------------------------- | |
| Educational command-line utility for inspecting compiled binaries. | |
| This tool focuses on safe static analysis and triage: | |
| - Detect executable format (PE / ELF / Mach-O / unknown) | |
| - Show hashes and basic file metadata | |
| - Extract printable strings |
| #!/usr/bin/env bash | |
| EXCUSES="/path/to/excuses.txt" | |
| awk 'NR=='$((1 + $RANDOM % `nl $EXCUSES | tail -n 1 | awk '{print $1}' `))'{print;exit}' $EXCUSES |
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